Job Description
Catalyst is looking for a highly skilled engineer to support the design, deployment, and optimization of our on-premises AI infrastructure. This role can be part-time, on-retainer, or structured as an independent contractor, with flexibility to expand to full-time if needed.
What You’ll Work On:
- Designing and maintaining on-prem AI stacks — GPU servers, local clusters, NAS storage
- Building and managing Docker/Docker Compose environments
- Optimizing model-inference pipelines for speed and reliability
- Developing backend services and APIs for AI applications
- Automating system setup and maintenance with Bash, Python, or PowerShell
- Managing GPU drivers, CUDA, and dependency stacks
- Implementing logging, metrics, and fault-tolerant distributed systems
- Integrating AI systems with local networks (DNS, SSL/TLS, reverse proxy, firewall, auth)
- Maintaining clear documentation and deployment procedures
Required Expertise:
- Strong proficiency in Python, JavaScript, and full-stack development
- Proven experience running GPU-accelerated workloads in Linux environments
- Deep knowledge of Docker, GPU runtime management, and multi-container orchestration
- Linux server administration, security hardening, and user-permission management
- Networking fundamentals (VLANs, NAT, DNS, reverse proxying)
- System performance tuning (CPU/GPU/RAM)
- Ability to read/debug code without IDE or internet access
REQUIRED: Must hold an active TS/SCI Full Scope clearance.
Job Tags
Full time, Contract work, For contractors, Local area, Flexible hours,